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GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

CVPR 2021 · 3D vision › 3D generation · approach: Monocular 3D object reconstruction · 91 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use geometry-aware composition with 3D assets, placement, and rendering rather than the competing image-simulation baselinesGeoSim · UrbanDataFID: 14.3 vs SPADE 43.2, Guided Editing 20.3, Cut-Paste 22.1, CAD 17.3Helped
Use geometry-aware composition rather than CAD model insertionGeoSim · ArgoverseFID: 28.3 -> 24.5Helped
Add GeoSim-generated images to real training dataPSPNet · Real-data segmentation evaluationmIOU: 93.5 -> 95.3Helped
Add GeoSim-generated images to real training dataPSPNet · Real-data segmentation evaluationcarIOU: 87.8 -> 91.2Helped
Add GeoSim-generated images to real training dataDeepLabv3 · Real-data segmentation evaluationmIOU: 94.0 -> 94.2Helped
Add GeoSim-generated images to real training dataDeepLabv3 · Real-data segmentation evaluationcarIOU: 88.7 -> 89.2Helped
Use geometry-aware synthesis instead of physics rendering (ablation)GeoSim · UrbanData rendering ablationhuman preference (%): 94.2 vs 71.9Hurt
Use geometry-aware synthesis instead of 2D synthesis (ablation)GeoSim · UrbanData rendering ablationFID: 13.7 -> 14.3Mixed
Add shadows to geometry-aware synthesis (ablation)GeoSim · UrbanData rendering ablationFID: 13.7 -> 14.3Hurt
Add shadows to geometry-aware synthesis (ablation)GeoSim · UrbanData rendering ablationhuman realism preferenceHelped
Remove occlusion reasoning (ablation)GeoSim · UrbanData image realismqualitative realismHurt
Remove shadow generation (ablation)GeoSim · UrbanData image realismqualitative realismHurt

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